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    Introduction to Modeling in Physiology and Medicine

    Introduction to Modeling in Physiology and Medicine by Cobelli, Claudio; Carson, Ewart;

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      • Publisher's listprice EUR 109.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        42 575 Ft (40 548 Ft + 5% VAT)
      • Discount 20% (cc. 8 515 Ft off)
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      • Discount is valid until: 30 June 2026

    42 575 Ft

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    Product details:

    • Edition number 2
    • Publisher Elsevier Science
    • Date of Publication 2 August 2019

    • ISBN 9780128157565
    • Binding Paperback
    • No. of pages384 pages
    • Size 234x190 mm
    • Weight 770 g
    • Language English
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    Long description:

    Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear understanding of the fundamental principles of good modeling methodology. Sections show how to create valid mathematical models that are fit for a range of purposes. These models are supported by detailed explanation, extensive case studies, examples and applications. This updated edition includes clearer guidance on the mathematical prerequisites needed to achieve the maximum benefit from the material, a greater detail regarding basic approaches to modeling, and discussions on non-linear and stochastic modeling. The range of case study material has been substantially extended, with examples drawn from recent research experience.

    Key examples include a cellular model of insulin secretion and its extension to the whole-body level, a model of insulin action during a meal/oral glucose tolerance test, a large-scale simulation model of type 1 diabetes and its use in in silico clinical trials and drug trials.

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    Table of Contents:

    1. Introduction2. Physiological Complexity and the Need for Models3. Models and the Modeling Process4. Modeling the Data5. Modeling the System6. Model Identification7. Parametric Models - The Identifiability Problem8. Parametric Models - The Estimation Problem9. Non-parametric Models - Signal Estimation10. Model Validation11. Case Studies

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